A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019

Hoang Tran, Jun Zhang, Mary Michael O’Neill, Anna Ryken, Laura E. Condon, Reed M. Maxwell

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

This article presents a hydrological reconstruction of the Upper Colorado River Basin with an hourly temporal resolution, and 1-km spatial resolution from October 1982 to September 2019. The validated dataset includes a suite of hydrologic variables including streamflow, water table depth, snow water equivalent (SWE) and evapotranspiration (ET) simulated by an integrated hydrological model, ParFlow-CLM. The dataset was validated over the period with a combination of point observations and remotely sensed products. These datasets provide a long-term, natural-flow, simulation for one of the most over-allocated basins in the world.

Original languageEnglish (US)
Article number16
JournalScientific Data
Volume9
Issue number1
DOIs
StatePublished - Dec 2022

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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